Synthetic Traffic Models Capturing a Full Range of Cache Coherent Behaviour
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Updated
May 17, 2019 - C++
Synthetic Traffic Models Capturing a Full Range of Cache Coherent Behaviour
R package to facilitate simulations for survival endpoints with non proportional hazards
Simulates the flaring activity of a single magnetar using the Monte Carlo technique.
A scalable stochastic simulation engine for derivative pricing that models uncertainty through probabilistic path sampling. Designed for high-dimensional financial systems, enabling accurate valuation of complex and path-dependent options.
R package for propensity score weighting using machine learning methods
Survival Distributions with Piece-Wise Constant Hazards
Simulation study: Mean dispersion
R-based simulation and statistical estimation of i.i.d. Poisson variables, including estimator derivation and performance analysis.
Synthetic threshold-payoff portfolio optimization on the probability simplex using projected CRN-SPSA and multistart simulation.
Projeto em R para estimar π (pi) por simulação de Monte Carlo a partir de conceitos de geometria, geometria analítica, probabilidade, convergência e erro de estimação
R Package with statistical research tools
Senior capstone on European call option pricing: derives Black–Scholes vs Monte Carlo under GBM and demonstrates convergence using real market inputs. Includes the Python pipeline (yfinance + NumPy) that reproduces the BS vs MC comparison table.
Monte carlo simulation to illustrate robustness of one sample t-test
Implementing Stochastic Models in Queuing Theory
Simulator for Nintendo’s top grossing mobile game with customizable pools, rates, and goals.
Known-answer simulations comparing four analysis pipelines under missingness and measurement-error scenarios, with deterministic replay and Safety Cards.
[PT] Simulação para calcular a distância média percorrida em uma caminhada aleatória utilizando diferentes números de passos.
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